Jitendra Malik's Home Page (original) (raw)
Arthur J. Chick Professor of EECS
University of California at Berkeley
CA 94720-1776
Asst: Angie Abbatecola, angie@eecs.berkeley.edu
Email: malik@berkeley.edu
Prospective graduate students-you do not need to contact me. Follow this link instead.
Office: Berkeley Way West
Brief Bio
Curriculum Vitae
Google Scholar
Teaching Fall 2024: CS 294-277 Robots That Learn
Selected Talks
Research Projects before 2015
Publications before 2010
Academic Family Tree as of 2010
Current Ph.D. Students
Current Postdoctoral Fellows
Former Ph.D. Students
Paul Kube On Image Texture, 1988 , UC San Diego
Pietro Perona _Finding Texture and Brightness Boundaries in Images,_1990, Caltech
Niklas Nordstrom Variational Edge Detection, 1990
Ziv Gigus Object Recognition from Line Drawings, 1991
Clark Olson Fast Object recognition by Selectively Examining Hypotheses, 1994, U W Bothell
David G. Jones Computational Models of Binocular Vision, 1991 , McMaster
Joseph Weber The Measurement and Use of Visual Motion, 1994 , TiVo
Ruth Rosenholtz Local Shape from Texture, 1994 , MIT
Paul Debevec _Modeling and Rendering Architecture from Photographs,_1996 , USC ICT
Christoph Bregler Computational Models of Human Motion, 1998 , Google
Jianbo Shi Perceptual Organization and Image Segmentation, 1998 , University of Pennsylvania
Chad Carson Region-Based Image Querying and Classification, 1998 , Yahoo!
Yizhou Yu Modeling and Editing Real Scenes with Image-Based Techniques, 2000 , Univ. Hong Kong
Thomas K. Leung Visual Texture Analysis, 2000 , Google
Serge J. Belongie Image Segmentation and Shape Matching for Object Recognition, 2000 , Cornell Tech
David Martin _An empirical approach to Grouping and Segmentation ,_2002 , Google
Alyosha Efros Data-driven Approaches for Texture and Motion, 2003 , UC Berkeley
Laura Walker Parts, Objects and Scenes: Computational Models and Psychophysics, 2003 , Apple
Gregory Mori Detecting and Localizing Human Figures, 2004 , Simon Fraser University
Andras Ferencz Finding Good Features for Object Recognition, 2005 , Mobileye Vision Technologies
Charless Fowlkes Measuring the Ecological Validity of Grouping and Figure-Ground Cues, 2005 , UC Irvine
Alexander Berg Shape Matching and Object Recognition, 2005 , UNC Chapel Hill
Xiaofeng Ren Probabilistic Models for Mid-Level Vision, 2006 , Amazon, Seattle
Hao Zhang Adapting Learning techniques for Visual Recognition, 2007,Two Sigma
Andrea Frome Learning Distance Functions for Exemplar-Based Object Recognition, 2007,Clarifai
Michael Maire Contour Detection and Image Segmentation, 2009,Chicago
Ashley Eden _Finding Lost Children,_2010,Google
Lubomir Bourdev _Poselets and Their Applications in High-Level Computer Vision,_2011, WaveOne
Chetan Nandakumar _Invariance in Human Visual Perception,_2011
Subhransu Maji _Algorithms and Representations for Visual Recognition,_2011, University of Massachussets, Amherst
Chunhui Gu _Recognition Using Regions,_2012, Startup
Jon Barron _Shapes, Paint, and Light,_2013, Google
Bharath Hariharan _Beyond Bounding Boxes: Precise Localization of Objects in Images,_2015, Cornell University
Georgia Gkioxari _Contextual Visual Recognition from Images and Videos,_2016, Facebook AI Research
Abhishek Kar _Learning to Reconstruct 3D Objects,_2017, Google
Shubham Tulsiani _Learning Single-view 3D Reconstruction of Objects and Scenes,_2018, Facebook AI Research
Saurabh Gupta Representations for Visually Guided Actions, 2018, FAIR / University of Illinois Urbana-Champaign
Pulkit Agrawal Computational Sensorimotor Learning, 2018, Massachusetts Institute of Technology
Panna Felsen _Learning to Predict Human Behavior from Video,_2019, Startup
Weicheng Kuo Expert-Level Detection of Acute Intracranial Hemorrhage on Head Computed Tomography using Deep Learning, 2019, Google Brain
Ke Li Advances in Machine Learning: Nearest Neighbor Search, Learning to Optimize and Generative Modeling, 2019, Simon Fraser University
Zhe Cao Perceiving 3D Humans and Objects in Motion, 2021, Google
Jasmine Collins Bridging the Gap between Humans and Machines in 3D Object Perception, 2023, Databricks
Alexander (Sasha) Sax Pretrained Representations for Embodied AI, 2023, FAIR, Meta, Inc.
Shubham Goel High-Fidelity 3D Mesh Reconstruction of Humans and Objects, 2023, Avataar
Ashish Kumar Rapid Adaptation for Robot Control, 2023, Tesla
Karttikeya Mangalam Perceiving People over Long Periods: Algorithms, Architectures & Datasets, 2023, startup
Former Postdoctoral fellows, excluding my former PhD students
Jitendra Malik (malik@eecs.berkeley.edu)